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Sheared LLaMA 2.7B Pruned by princeton-nlp

 »  All LLMs  »  princeton-nlp  »  Sheared LLaMA 2.7B Pruned   URL Share it on

  1113   
  Arxiv:2310.06694   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/princeton-nlp/Sheared-LLaMA-2.7B-Pruned 

Sheared LLaMA 2.7B Pruned Benchmarks

LLME Score: 0.14831
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sheared LLaMA 2.7B Pruned (princeton-nlp/Sheared-LLaMA-2.7B-Pruned)
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Sheared LLaMA 2.7B Pruned Parameters and Internals

Model Type 
Pruned Model
Use Cases 
Areas:
Research
Applications:
Study effective data mixtures for continued pre-training, Comparisons to other pruning techniques, Understand how pruning affects knowledge and reasoning capabilities
Additional Notes 
Sheared-LLaMA-2.7B-Pruned is based on 'meta-llama/Llama-2-7b-hf' without continued pre-training.
Training Details 
Data Sources:
Roughly 0.4B tokens
Data Volume:
0.4B tokens
Methodology:
Pruning experiment without continued pre-training
LLM NameSheared LLaMA 2.7B Pruned
Repository 🤗https://huggingface.co/princeton-nlp/Sheared-LLaMA-2.7B-Pruned 
Model Size2.7b
Required VRAM5.4 GB
Updated2025-09-10
Maintainerprinceton-nlp
Model Typellama
Model Files  5.4 GB
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.33.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than princeton-nlp/Sheared-LLaMA-2.7B-Pruned.

Rank the Sheared LLaMA 2.7B Pruned Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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